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<div class="title">TensorStriding.h</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// Copyright (C) 2014 Benoit Steiner &lt;benoit.steiner.goog@gmail.com&gt;</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160; </div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#ifndef EIGEN_CXX11_TENSOR_TENSOR_STRIDING_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#define EIGEN_CXX11_TENSOR_TENSOR_STRIDING_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;./InternalHeaderCheck.h&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceEigen.html">Eigen</a> {</div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160; </div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Str<span class="keywordtype">id</span>es, <span class="keyword">typename</span> XprType&gt;</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="keyword">struct </span>traits&lt;TensorStridingOp&lt;Strides, XprType&gt; &gt; : <span class="keyword">public</span> traits&lt;XprType&gt;</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;{</div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::Scalar Scalar;</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;  <span class="keyword">typedef</span> traits&lt;XprType&gt; XprTraits;</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprTraits::StorageKind StorageKind;</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprTraits::Index <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>;</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::Nested Nested;</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;  <span class="keyword">typedef</span> std::remove_reference_t&lt;Nested&gt; Nested_;</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;  <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> NumDimensions = XprTraits::NumDimensions;</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;  <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> Layout = XprTraits::Layout;</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprTraits::PointerType PointerType;</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;};</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160; </div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Str<span class="keywordtype">id</span>es, <span class="keyword">typename</span> XprType&gt;</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="keyword">struct </span>eval&lt;TensorStridingOp&lt;Strides, XprType&gt;, <a class="code" href="namespaceEigen.html">Eigen</a>::Dense&gt;</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;{</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">const</span> TensorStridingOp&lt;Strides, XprType&gt;EIGEN_DEVICE_REF type;</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;};</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160; </div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Str<span class="keywordtype">id</span>es, <span class="keyword">typename</span> XprType&gt;</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="keyword">struct </span>nested&lt;TensorStridingOp&lt;Strides, XprType&gt;, 1, typename eval&lt;TensorStridingOp&lt;Strides, XprType&gt; &gt;::type&gt;</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;{</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;  <span class="keyword">typedef</span> TensorStridingOp&lt;Strides, XprType&gt; type;</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;};</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160; </div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;}  <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160; </div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160; </div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160; </div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Str<span class="keywordtype">id</span>es, <span class="keyword">typename</span> XprType&gt;</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="keyword">class </span>TensorStridingOp : <span class="keyword">public</span> TensorBase&lt;TensorStridingOp&lt;Strides, XprType&gt; &gt;</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;{</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <span class="keyword">typedef</span> TensorBase&lt;TensorStridingOp&lt;Strides, XprType&gt; &gt; Base;</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> Eigen::internal::traits&lt;TensorStridingOp&gt;::Scalar Scalar;</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="codeRef" href="../structEigen_1_1NumTraits.html">Eigen::NumTraits&lt;Scalar&gt;::Real</a> RealScalar;</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::CoeffReturnType CoeffReturnType;</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> Eigen::internal::nested&lt;TensorStridingOp&gt;::type Nested;</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> Eigen::internal::traits&lt;TensorStridingOp&gt;::StorageKind StorageKind;</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> Eigen::internal::traits&lt;TensorStridingOp&gt;::Index <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>;</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160; </div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorStridingOp(<span class="keyword">const</span> XprType&amp; expr, <span class="keyword">const</span> Strides&amp; dims)</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;      : m_xpr(expr), m_dims(dims) {}</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160; </div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keyword">const</span> Strides&amp; strides()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_dims; }</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160; </div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <span class="keyword">const</span> internal::remove_all_t&lt;typename XprType::Nested&gt;&amp;</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    expression()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_xpr; }</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160; </div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    EIGEN_TENSOR_INHERIT_ASSIGNMENT_OPERATORS(TensorStridingOp)</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160; </div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <span class="keyword">typename</span> XprType::Nested m_xpr;</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <span class="keyword">const</span> Strides m_dims;</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;};</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160; </div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160; </div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="comment">// Eval as rvalue</span></div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Str<span class="keywordtype">id</span>es, <span class="keyword">typename</span> ArgType, <span class="keyword">typename</span> Device&gt;</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="keyword">struct </span>TensorEvaluator&lt;const TensorStridingOp&lt;Strides, ArgType&gt;, Device&gt;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;{</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;  <span class="keyword">typedef</span> TensorStridingOp&lt;Strides, ArgType&gt; XprType;</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::Index Index;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;  <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> NumDims = internal::array_size&lt;typename TensorEvaluator&lt;ArgType, Device&gt;::Dimensions&gt;::value;</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;  <span class="keyword">typedef</span> DSizes&lt;Index, NumDims&gt; Dimensions;</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::Scalar Scalar;</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::CoeffReturnType CoeffReturnType;</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> PacketType&lt;CoeffReturnType, Device&gt;::type PacketReturnType;</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;  <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> PacketSize = PacketType&lt;CoeffReturnType, Device&gt;::size;</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;  <span class="keyword">typedef</span> StorageMemory&lt;CoeffReturnType, Device&gt; Storage;</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Storage::Type EvaluatorPointerType;</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160; </div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;  <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> Layout = TensorEvaluator&lt;ArgType, Device&gt;::Layout;</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    IsAligned = <span class="comment">/*TensorEvaluator&lt;ArgType, Device&gt;::IsAligned*/</span><span class="keyword">false</span>,</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    PacketAccess = TensorEvaluator&lt;ArgType, Device&gt;::PacketAccess,</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    BlockAccess = <span class="keyword">false</span>,</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    PreferBlockAccess = TensorEvaluator&lt;ArgType, Device&gt;::PreferBlockAccess,</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    CoordAccess = <span class="keyword">false</span>,  <span class="comment">// to be implemented</span></div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    RawAccess = <span class="keyword">false</span></div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;  };</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160; </div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;  <span class="comment">//===- Tensor block evaluation strategy (see TensorBlock.h) -------------===//</span></div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  <span class="keyword">typedef</span> internal::TensorBlockNotImplemented TensorBlock;</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  <span class="comment">//===--------------------------------------------------------------------===//</span></div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160; </div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;  EIGEN_STRONG_INLINE TensorEvaluator(<span class="keyword">const</span> XprType&amp; op, <span class="keyword">const</span> Device&amp; device)</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;      : m_impl(op.expression(), device)</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;  {</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    m_dimensions = m_impl.dimensions();</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; NumDims; ++i) {</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;      m_dimensions[i] =Eigen::numext::ceil(<span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span>(m_dimensions[i]) / op.strides()[i]);</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    }</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160; </div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    <span class="keyword">const</span> <span class="keyword">typename</span> TensorEvaluator&lt;ArgType, Device&gt;::Dimensions&amp; input_dims = m_impl.dimensions();</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    <span class="keywordflow">if</span> (<span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(Layout) == <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="codeRef" href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>)) {</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;      m_outputStrides[0] = 1;</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;      m_inputStrides[0] = 1;</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 1; i &lt; NumDims; ++i) {</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        m_outputStrides[i] = m_outputStrides[i-1] * m_dimensions[i-1];</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;        m_inputStrides[i] = m_inputStrides[i-1] * input_dims[i-1];</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;        m_inputStrides[i-1] *= op.strides()[i-1];</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;      }</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;      m_inputStrides[NumDims-1] *= op.strides()[NumDims-1];</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    } <span class="keywordflow">else</span> {  <span class="comment">// RowMajor</span></div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;      m_outputStrides[NumDims-1] = 1;</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;      m_inputStrides[NumDims-1] = 1;</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = NumDims - 2; i &gt;= 0; --i) {</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;        m_outputStrides[i] = m_outputStrides[i+1] * m_dimensions[i+1];</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;        m_inputStrides[i] = m_inputStrides[i+1] * input_dims[i+1];</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;        m_inputStrides[i+1] *= op.strides()[i+1];</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;      }</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;      m_inputStrides[0] *= op.strides()[0];</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    }</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;  }</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160; </div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160; </div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Dimensions&amp; dimensions()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_dimensions; }</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160; </div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">bool</span> evalSubExprsIfNeeded(EvaluatorPointerType<span class="comment">/*data*/</span>) {</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    m_impl.evalSubExprsIfNeeded(NULL);</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;  }</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  EIGEN_STRONG_INLINE <span class="keywordtype">void</span> cleanup() {</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    m_impl.cleanup();</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;  }</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160; </div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    <span class="keywordflow">return</span> m_impl.coeff(srcCoeff(index));</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;  }</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160; </div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> LoadMode&gt;</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE PacketReturnType packet(Index index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    EIGEN_STATIC_ASSERT((PacketSize &gt; 1), YOU_MADE_A_PROGRAMMING_MISTAKE)</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    eigen_assert(index+PacketSize-1 &lt; dimensions().TotalSize());</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160; </div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> inputIndices[] = {0, 0};</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> indices[] = {index, index + PacketSize - 1};</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <span class="keywordflow">if</span> (<span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(Layout) == <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="codeRef" href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>)) {</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;      EIGEN_UNROLL_LOOP</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = NumDims - 1; i &gt; 0; --i) {</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;        <span class="keyword">const</span> <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx0 = indices[0] / m_outputStrides[i];</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;        <span class="keyword">const</span> <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx1 = indices[1] / m_outputStrides[i];</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;        inputIndices[0] += idx0 * m_inputStrides[i];</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;        inputIndices[1] += idx1 * m_inputStrides[i];</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;        indices[0] -= idx0 * m_outputStrides[i];</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;        indices[1] -= idx1 * m_outputStrides[i];</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;      }</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;      inputIndices[0] += indices[0] * m_inputStrides[0];</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;      inputIndices[1] += indices[1] * m_inputStrides[0];</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    } <span class="keywordflow">else</span> {  <span class="comment">// RowMajor</span></div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;      EIGEN_UNROLL_LOOP</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; NumDims - 1; ++i) {</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;        <span class="keyword">const</span> <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx0 = indices[0] / m_outputStrides[i];</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;        <span class="keyword">const</span> <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx1 = indices[1] / m_outputStrides[i];</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;        inputIndices[0] += idx0 * m_inputStrides[i];</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;        inputIndices[1] += idx1 * m_inputStrides[i];</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;        indices[0] -= idx0 * m_outputStrides[i];</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;        indices[1] -= idx1 * m_outputStrides[i];</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;      }</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;      inputIndices[0] += indices[0] * m_inputStrides[NumDims-1];</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;      inputIndices[1] += indices[1] * m_inputStrides[NumDims-1];</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    }</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    <span class="keywordflow">if</span> (inputIndices[1] - inputIndices[0] == PacketSize - 1) {</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;      PacketReturnType rslt = m_impl.template packet&lt;Unaligned&gt;(inputIndices[0]);</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;      <span class="keywordflow">return</span> rslt;</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    }</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;      EIGEN_ALIGN_MAX std::remove_const_t&lt;CoeffReturnType&gt; values[PacketSize];</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;      values[0] = m_impl.coeff(inputIndices[0]);</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;      values[PacketSize-1] = m_impl.coeff(inputIndices[1]);</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;      EIGEN_UNROLL_LOOP</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 1; i &lt; PacketSize-1; ++i) {</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;        values[i] = coeff(index+i);</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;      }</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;      PacketReturnType rslt = internal::pload&lt;PacketReturnType&gt;(values);</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;      <span class="keywordflow">return</span> rslt;</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    }</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;  }</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160; </div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorOpCost costPerCoeff(<span class="keywordtype">bool</span> vectorized)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    <span class="keywordtype">double</span> compute_cost = (NumDims - 1) * (TensorOpCost::AddCost&lt;Index&gt;() +</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;                                           TensorOpCost::MulCost&lt;Index&gt;() +</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;                                           TensorOpCost::DivCost&lt;Index&gt;()) +</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;        TensorOpCost::MulCost&lt;Index&gt;();</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    <span class="keywordflow">if</span> (vectorized) {</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;      compute_cost *= 2;  <span class="comment">// packet() computes two indices</span></div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    }</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> innerDim = (<span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(Layout) == <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="codeRef" href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>)) ? 0 : (NumDims - 1);</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    <span class="keywordflow">return</span> m_impl.costPerCoeff(vectorized &amp;&amp; m_inputStrides[innerDim] == 1) +</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;        <span class="comment">// Computation is not vectorized per se, but it is done once per packet.</span></div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;        TensorOpCost(0, 0, compute_cost, vectorized, PacketSize);</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;  }</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160; </div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;  EIGEN_DEVICE_FUNC <span class="keyword">typename</span> Storage::Type data()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> NULL; }</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160; </div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;<span class="preprocessor">#ifdef EIGEN_USE_SYCL</span></div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;  <span class="comment">// binding placeholder accessors to a command group handler for SYCL</span></div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> bind(cl::sycl::handler &amp;cgh)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    m_impl.bind(cgh);</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;  }</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160; <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> srcCoeff(Index index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> inputIndex = 0;</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    <span class="keywordflow">if</span> (<span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(Layout) == <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="codeRef" href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>)) {</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;      EIGEN_UNROLL_LOOP</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = NumDims - 1; i &gt; 0; --i) {</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;        <span class="keyword">const</span> <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx = index / m_outputStrides[i];</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;        inputIndex += idx * m_inputStrides[i];</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        index -= idx * m_outputStrides[i];</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;      }</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;      inputIndex += index * m_inputStrides[0];</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    } <span class="keywordflow">else</span> {  <span class="comment">// RowMajor</span></div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;      EIGEN_UNROLL_LOOP</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; NumDims - 1; ++i) {</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        <span class="keyword">const</span> <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx = index / m_outputStrides[i];</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;        inputIndex += idx * m_inputStrides[i];</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;        index -= idx * m_outputStrides[i];</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;      }</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;      inputIndex += index * m_inputStrides[NumDims-1];</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    }</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    <span class="keywordflow">return</span> inputIndex;</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;  }</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160; </div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;  Dimensions m_dimensions;</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;  array&lt;Index, NumDims&gt; m_outputStrides;</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;  array&lt;Index, NumDims&gt; m_inputStrides;</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;  TensorEvaluator&lt;ArgType, Device&gt; m_impl;</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;};</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160; </div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;<span class="comment">// Eval as lvalue</span></div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Str<span class="keywordtype">id</span>es, <span class="keyword">typename</span> ArgType, <span class="keyword">typename</span> Device&gt;</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;<span class="keyword">struct </span>TensorEvaluator&lt;TensorStridingOp&lt;Strides, ArgType&gt;, Device&gt;</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;    : <span class="keyword">public</span> TensorEvaluator&lt;const TensorStridingOp&lt;Strides, ArgType&gt;, Device&gt;</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;{</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;  <span class="keyword">typedef</span> TensorStridingOp&lt;Strides, ArgType&gt; XprType;</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;  <span class="keyword">typedef</span> TensorEvaluator&lt;const XprType, Device&gt; Base;</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;  <span class="comment">//  typedef typename XprType::Index Index;</span></div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;  <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> NumDims = internal::array_size&lt;typename TensorEvaluator&lt;ArgType, Device&gt;::Dimensions&gt;::value;</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;  <span class="comment">//  typedef DSizes&lt;Index, NumDims&gt; Dimensions;</span></div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160; </div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;  <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> Layout = TensorEvaluator&lt;ArgType, Device&gt;::Layout;</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;    IsAligned = <span class="comment">/*TensorEvaluator&lt;ArgType, Device&gt;::IsAligned*/</span><span class="keyword">false</span>,</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    PacketAccess = TensorEvaluator&lt;ArgType, Device&gt;::PacketAccess,</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    PreferBlockAccess = <span class="keyword">false</span>,</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;    CoordAccess = <span class="keyword">false</span>,  <span class="comment">// to be implemented</span></div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    RawAccess = <span class="keyword">false</span></div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;  };</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160; </div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;  EIGEN_STRONG_INLINE TensorEvaluator(<span class="keyword">const</span> XprType&amp; op, <span class="keyword">const</span> Device&amp; device)</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;      : Base(op, device) { }</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160; </div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::Index <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>;</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::Scalar Scalar;</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::CoeffReturnType CoeffReturnType;</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> PacketType&lt;CoeffReturnType, Device&gt;::type PacketReturnType;</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;  <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> PacketSize = PacketType&lt;CoeffReturnType, Device&gt;::size;</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160; </div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar&amp; coeffRef(Index index)</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;  {</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;    <span class="keywordflow">return</span> this-&gt;m_impl.coeffRef(this-&gt;srcCoeff(index));</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;  }</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160; </div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;  <span class="keyword">template</span> &lt;<span class="keywordtype">int</span> StoreMode&gt; EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;  <span class="keywordtype">void</span> writePacket(Index index, <span class="keyword">const</span> PacketReturnType&amp; x)</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;  {</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;    EIGEN_STATIC_ASSERT((PacketSize &gt; 1), YOU_MADE_A_PROGRAMMING_MISTAKE)</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;    eigen_assert(index+PacketSize-1 &lt; this-&gt;dimensions().TotalSize());</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160; </div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;    <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> inputIndices[] = {0, 0};</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;    <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> indices[] = {index, index + PacketSize - 1};</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    <span class="keywordflow">if</span> (<span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(Layout) == <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="codeRef" href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>)) {</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;      EIGEN_UNROLL_LOOP</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = NumDims - 1; i &gt; 0; --i) {</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;        <span class="keyword">const</span> <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx0 = indices[0] / this-&gt;m_outputStrides[i];</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;        <span class="keyword">const</span> <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx1 = indices[1] / this-&gt;m_outputStrides[i];</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;        inputIndices[0] += idx0 * this-&gt;m_inputStrides[i];</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;        inputIndices[1] += idx1 * this-&gt;m_inputStrides[i];</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;        indices[0] -= idx0 * this-&gt;m_outputStrides[i];</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;        indices[1] -= idx1 * this-&gt;m_outputStrides[i];</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;      }</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;      inputIndices[0] += indices[0] * this-&gt;m_inputStrides[0];</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;      inputIndices[1] += indices[1] * this-&gt;m_inputStrides[0];</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;    } <span class="keywordflow">else</span> {  <span class="comment">// RowMajor</span></div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;      EIGEN_UNROLL_LOOP</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; NumDims - 1; ++i) {</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;        <span class="keyword">const</span> <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx0 = indices[0] / this-&gt;m_outputStrides[i];</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;        <span class="keyword">const</span> <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx1 = indices[1] / this-&gt;m_outputStrides[i];</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;        inputIndices[0] += idx0 * this-&gt;m_inputStrides[i];</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;        inputIndices[1] += idx1 * this-&gt;m_inputStrides[i];</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;        indices[0] -= idx0 * this-&gt;m_outputStrides[i];</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;        indices[1] -= idx1 * this-&gt;m_outputStrides[i];</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;      }</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;      inputIndices[0] += indices[0] * this-&gt;m_inputStrides[NumDims-1];</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;      inputIndices[1] += indices[1] * this-&gt;m_inputStrides[NumDims-1];</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;    }</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;    <span class="keywordflow">if</span> (inputIndices[1] - inputIndices[0] == PacketSize - 1) {</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;      this-&gt;m_impl.template writePacket&lt;Unaligned&gt;(inputIndices[0], x);</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    }</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;    <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;      EIGEN_ALIGN_MAX Scalar values[PacketSize];</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;      internal::pstore&lt;Scalar, PacketReturnType&gt;(values, x);</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;      this-&gt;m_impl.coeffRef(inputIndices[0]) = values[0];</div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;      this-&gt;m_impl.coeffRef(inputIndices[1]) = values[PacketSize-1];</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;      EIGEN_UNROLL_LOOP</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 1; i &lt; PacketSize-1; ++i) {</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;        this-&gt;coeffRef(index+i) = values[i];</div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;      }</div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;    }</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;  }</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;};</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160; </div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160; </div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;} <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160; </div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;<span class="preprocessor">#endif </span><span class="comment">// EIGEN_CXX11_TENSOR_TENSOR_STRIDING_H</span></div>
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